• Title/Summary/Keyword: partial test

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The Influence of Attractiveness and Match-Up of Model on Brand Attitude and Purchase Intention of Franchise Brands (프랜차이즈 브랜드에서 모델의 매력성 및 적합성이 브랜드 태도와 구매의도에 미치는 영향)

  • Ahn, Byung-Ok;Heo, Jeong-Moo;Lee, Dong-Han
    • The Korean Journal of Franchise Management
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    • v.8 no.4
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    • pp.7-19
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    • 2017
  • Purpose - The purpose of this study is to investigate the effect of model attractiveness on brand attitude and purchase intention, and examine whether product-model match-up plays a moderating role in the relationship between model attractiveness and brand attitude and purchase intention. The model attractiveness is consist of psychological and physical attractiveness of the model. The authors investigate how product-model match-up influence the strength of the relationship between model attractiveness - brand attitude and purchase intention. The purpose of this is to test whether product-model match-up influence the form and effectiveness of a model attractiveness on brand attitude and purchase intention and suggest the effective and efficient methods in the model selection strategies to increase advertising effectiveness based on the results of this study. Research design, data, and methodology - The experimental design for this study was the between subject design based on 2 group of the psychological attractiveness(high vs. low) × product-model match-up(high vs low) and 2 group of the physical attractiveness(high vs. low) × product-model match-up(high vs low). And a preliminary investigation was conducted to develop experimental stimuli through manipulation check to enhance the external validity of experimental research. The attractiveness of the model and product-model match-up are independent variables and manipulative variables in presentation of experimental stimuli. The self-administered methode experiment was conducted on 300 subjects in four groups constructed according to the independent variables. Result - The findings provide partial support for a moderator for product-model match-up on the model attractiveness - brand attitude and purchase intention. First, the influence of psychological attractiveness and physical attractiveness on brand attitude and purchase intention was shown significant. Also, it was found that the average value of brand attitude and purchase intention according to psychological attractiveness was significantly higher than the average value of brand attitude and purchase intention according to physical attractiveness in additional analysis. Second, the average value of brand attitude and purchase intention were higher when product - model match-up was high in both high and low psychological attractiveness and physical attractiveness of the model. However, in the case of psychological attractiveness, the correlation effect with product - model match-up was significant, but in the case of physical attractiveness, it was not significant. Conclusions - The results of this study suggest that the attractiveness factor should be considered in selecting the ad model by verifying the effect of the attractiveness of the model on the advertising effect. In particular, this study has great significance both academically and practically in terms of suggesting such implications that the advertising effect of psychological attractiveness and physical attractiveness may be different depending on the product type by additional analysis.

The Effect of Convergence Reading Education on the Convergence Literacy of Adolescents: Focusing on the Mediating Effect of Learning Motivation (융합독서교육이 청소년의 융합적 소양에 미치는 영향 - 학습동기의 매개효과를 중심으로 -)

  • Soo-Youn Cho;Miah Cho
    • Journal of the Korean Society for Library and Information Science
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    • v.57 no.2
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    • pp.151-178
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    • 2023
  • The purpose of this study is to investigate the effect of school library reading classes on the convergence literacy of adolescents based on the convergence reading education model. To achieve this, elements of convergence education for future-oriented competence were derived from the level of reading education based on previous studies and literature, and the effectiveness of education was measured by conducting a convergence literacy test targeting 50 general high school students. In this study, reading classes and tests were conducted over 12 sessions from April 2022 to November 2022, and the study participants were divided into two groups, and convergence reading education and self-reading education were applied respectively. The analysis results of this study are as follows. First, It was verified that there was a significant difference in the promotion of convergent literacy of adolescents according to the method of reading education. Second, it was verified that convergence reading education had a significant effect on convergence literacy of adolescents such as convergence, creativity, self-direction and communication ability. Third, as a result of verifying whether learning motivation plays a mediating role in convergence reading education influencing convergent literacy, learning motivation played a partial mediating role and had an indirect effect on creativity, self-direction, and communication ability between convergence reading education and convergence literacy, but showed no significant mediating effect on convergence ability.

Effect of Feeding with Different Source of Carbohydrate and Fiber on Carbohydrate and Lipid Metabolism in Type 2 Diabetic Rats (탄수화물의 급원과 식이섬유의 종류를 달리한 식이가 제 2형 당뇨 쥐의 당대사 및 지질대사에 미치는 영향)

  • Kwon, Sang-Hee;Jeong, Hye-Jin;Shim, Jee-Ae;Son, Young-Ae;Kim, Mi-Kyung
    • Journal of the Korean Society of Food Culture
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    • v.22 no.1
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    • pp.157-165
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    • 2007
  • This study was designed to evaluate the effects of fructose(F) or sucrose(S) and guar gum intake on carbohydrate and lipid metabolism in 15-week-old male Goto-Kakizaki(GK) rats. Fifty rats were randomly assigned to 5 groups which were different in carbohydrate(25% of carbohydrate) and fiber(5% w/w) sources. The carbohydrate(CHO) sources of each group were comstarch(control group, 100% of CHO), fructose with cellulose(F), fructose with guar gum(FG), sucrose with cellulose(S), and sucrose with guar gum(SG). Each group was fed exterimental diet for 4 weeks. We measured food intake, body weight gain, adipose tissues weight and organs weight. We conducted oral glucose tolerance test(OGTT) and measured plasma insulin concentration to examine carbohydrate metabolism. To evaluate lipid metabolism, we measured the lipid profile of plasma, liver and feces. Food intake and weight gain of FG or SG groups tended to be less than those of F or S groups. Perirenal and epididymal fat pad weights of SG group were significantly lower than those of S group and those of FG group tended to be lower than those of F group. In OGTT, blood glucose values of F or S groups were significantly higher than those of C group, and FG or SG groups tended to be lower than those of F or S groups during the experimental time. The area under the curve(AUC) of C group was significantly highest among the groups, AUC and plasma insulin concentration of FG or SG groups tended to be lower than those of F or S groups. Plasma and hepatic triglyceride (TG) of FG and SG groups were significantly lower than those of F and S groups, plasma and hepatic total lipid(TL) and total cholesterol(TC) of FG and SG groups tended to be lower than those of F and S groups. Fecal TL, TG and TC of FG or SG groups tended to be higher than those of F and S groups. In conclusion, intake of guar gum should improve carbohydrate and lipid metabolism in partial substitution of fructose or sucrose for cornstarch in GK rats.

Study on the Application of Dry-Ice Blaster for Development of Automatic Stripe-Line Removal (노면표시 제거 장비 개발을 위한 드라이아이스 블래스터 적용에 관한 연구)

  • Koo, Ja Kyung;Moon, Deuk Soo;Bernold, Leonhard E.;Lee, Tai Si
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.29 no.2D
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    • pp.245-253
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    • 2009
  • Road facility is the most fundamental infrastructure for traffic and various information for smooth traffic is included in road surfaces. Various information included in road surfaces should be often removed and reinstalled by partial damage and aging. In addition, the existing road surface information should be removed in order to mark new information as traffic information changes. The existing road surface removal method suing grinders and torches had problems such as dangerous working equipment and workers' direct exposure to cars. In addition, although water-jet system using super high-pressure water was used to remove road surface in order of improvement of traditional method, there are another problems such as limitations according to water-tanks and water frost on the road surfaces after work. Therefore, this study analyzes and suggests systems to develop prototype after analyzing dry ice blaster in order to improve the current road surface removal methods. In addition, the study analyzes the possibility of introduction of dry ice blaster through a test for proposing an automatized equipment for new road surface mark removal considering environment and work efficiency, and compare traditional method with introduced dry ice blaster for operating cost.

The Research of Ability to Use Internet, Interpersonal Skill, and Social Activity among the 50's and 60's in Seoul: Latent Mean Analysis (서울지역 장·노년층의 인터넷활용능력, 대인관계능력, 사회활동에 관한 연구: 잠재평균분석을 활용한 집단비교)

  • Kim, Dong bae;Kim, Sang bum;Kim, Se jin
    • 한국노년학
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    • v.31 no.3
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    • pp.733-749
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    • 2011
  • The purpose of this research are as follows. The first is to investigate the mediating effect of interpersonal skill on the relationship between the ability to use Internet and social activity among the 50's and 60's. The second is to compare 60's latent mean of core variables with 50's ones in terms of information gap. The data was Seoul welfare panel data made by Seoul welfare foundation in 2008 and the total subject was 941(50's=644, 60's=297). When it comes to the research methods, structured equation analysis for verifying the mediating effect and latent mean analysis for comparing the two groups were practiced. The results of this research are as follows. First of all, interpersonal skill did function as partial mediator. Second, according to the latent mean analysis, the group of 50's showed a more higher level of the ability to use Internet. On the other hand, the group of 60's revealed a more active social participation. In conclusion, Information educational programs should focus on Internet communication skill for enhancing social activities of the elderly and consider the differentiations among the elder generations.

The Effect of Family Resilience on Willingness for Self-sufficiency in Self-sufficiency Program Participants: Focusing on the Mediating Effect of Mental Health (자활사업참여자의 가족탄력성이 자활의지에 미치는 영향: 정신건강의 매개효과를 중심으로)

  • Kim, Jung-Hee
    • The Journal of the Korea Contents Association
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    • v.22 no.8
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    • pp.607-618
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    • 2022
  • The purpose of this study was to identify the effect of family resilience on willingness for self-sufficiency in self-sufficiency program participants and to verify the mediating effect of mental health in the relationship. The survey subjects were 283 participants from a local self-support center in Gangwon-do. As for the analysis method, descriptive statistics and difference verification were performed. Also, hierarchical regression analysis and mediating effect method were performed to verify the research model. First, as a result of the difference test, the level of self-support was higher when there was a caring family. The level of family resilience was higher in those who were in their 40s and 50s than in their 30s or less, married than unmarried, had normal or excellent health conditions than deplorable health conditions, and had a caring family. Mental health quality was higher in very healthy people rather than in people who had poor health. Also, people with no dept had a higher mental health quality. Second, as a result of analyzing the relationship of influence on self-support, the higher the age, the more caring families, the higher the level of family resilience and mental health, the higher the self-sufficiency. Third, as a result of the mediating effect analysis, mental health had a partial mediating effect between family resilience and willingness for self-sufficiency. Therefore, we discussed the implications for improving family resilience and mental health as a factor in improving the level of self-sufficiency in self-sufficiency program participants.

A Study on the Mediating Effect of the Sense of Community on the Relationship between Volunteering and Community Capacity among Older Adults: Focused on the Older Participants of the Government-Sponsored Elderly Volunteer Program for Prevention of Depression and Suicide (노인자원봉사 활동과 지역사회 역량에 관한 지역사회 소속감 매개효과 연구: 보건복지부 노인전문자원봉사 지원사업 참여노인들을 대상으로)

  • Lee, Geum-Yong;Kim, Jin Won
    • 한국노년학
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    • v.39 no.1
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    • pp.73-92
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    • 2019
  • The purpose of this study is to verify the influence of volunteering on the sense of community and the community capacity, and the mediating effect of the sense of community on the relationship between volunteering variables(the period and satisfaction of volunteering) and the community capacity as well. Study population is 1,416 elderly volunteers who participated in the government-sponsored elderly volunteer program for prevention of depression and suicide in 2016. The results show that the experience of volunteering plays an important role in improving the sense of community and the community capacity among the older participants. As for the analysis of the mediating effect, the sense of community has a perfect mediating effect between the period of volunteering and the community capacity, and a partial mediating effect between volunteering satisfaction and the community capacity. Based on these findings, the theoretical and practical implications were discussed.

Implementation of AI-based Object Recognition Model for Improving Driving Safety of Electric Mobility Aids (객체 인식 모델과 지면 투영기법을 활용한 영상 내 다중 객체의 위치 보정 알고리즘 구현)

  • Dong-Seok Park;Sun-Gi Hong;Jun-Mo Park
    • Journal of the Institute of Convergence Signal Processing
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    • v.24 no.2
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    • pp.119-125
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    • 2023
  • In this study, we photograph driving obstacle objects such as crosswalks, side spheres, manholes, braille blocks, partial ramps, temporary safety barriers, stairs, and inclined curb that hinder or cause inconvenience to the movement of the vulnerable using electric mobility aids. We develop an optimal AI model that classifies photographed objects and automatically recognizes them, and implement an algorithm that can efficiently determine obstacles in front of electric mobility aids. In order to enable object detection to be AI learning with high probability, the labeling form is labeled as a polygon form when building a dataset. It was developed using a Mask R-CNN model in Detectron2 framework that can detect objects labeled in the form of polygons. Image acquisition was conducted by dividing it into two groups: the general public and the transportation weak, and image information obtained in two areas of the test bed was secured. As for the parameter setting of the Mask R-CNN learning result, it was confirmed that the model learned with IMAGES_PER_BATCH: 2, BASE_LEARNING_RATE 0.001, MAX_ITERATION: 10,000 showed the highest performance at 68.532, so that the user can quickly and accurately recognize driving risks and obstacles.

Application of Back Analysis Technique Based on Direct Search Method to Estimate Tension of Suspension Bridge Hanger Cable (현수교 행어케이블의 장력 추정을 위한 직접탐색법 기반의 역해석 기법의 적용 )

  • Jin-Soo Kim;Jae-Bong Park;Kwang-Rim Park;Dong-Uk Park;Sung-Wan Kim
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.27 no.5
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    • pp.120-129
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    • 2023
  • Hanger cable tension is a major response that can determine the integrity and safety of suspension bridges. In general, the vibration method is used to estimate hanger cable tension on operational suspension bridges. It measures natural frequencies from hanger cables and indirectly estimates tension using the geometry conditions of the hanger cables. This study estimated the hanger cable tension of the Palyeong Bridge using a vision-based system. The vision-based system used digital camcorders and tripods considering the convenience and economic efficiency of measurement. Measuring the natural frequencies for high-order modes required for the vibration method is difficult because the hanger cable response measured using the vision-based system is displacement-based. Therefore, this study proposed a back analysis technique for estimating tension using the natural frequencies of low-order modes. Optimization for the back analysis technique was performed by defining the difference between the natural frequencies of hanger cables measured in the field and those calculated using finite element analysis as the objective function. The direct search method that does not require the partial derivatives of the objective function was applied as the optimization method. The reliability and accuracy of the back analysis technique were verified by comparing the tension calculated using the method with that estimated using the vibration method. Tension was accurately estimated using the natural frequencies of low-order modes by applying the back analysis technique.

Development of a Slope Condition Analysis System using IoT Sensors and AI Camera (IoT 센서와 AI 카메라를 융합한 급경사지 상태 분석 시스템 개발)

  • Seungjoo Lee;Kiyen Jeong;Taehoon Lee;YoungSeok Kim
    • Journal of the Korean Geosynthetics Society
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    • v.23 no.2
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    • pp.43-52
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    • 2024
  • Recent abnormal climate conditions have increased the risk of slope collapses, which frequently result in significant loss of life and property due to the absence of early prediction and warning dissemination. In this paper, we develop a slope condition analysis system using IoT sensors and AI-based camera to assess the condition of slopes. To develop the system, we conducted hardware and firmware design for measurement sensors considering the ground conditions of slopes, designed AI-based image analysis algorithms, and developed prediction and warning solutions and systems. We aimed to minimize errors in sensor data through the integration of IoT sensor data and AI camera image analysis, ultimately enhancing the reliability of the data. Additionally, we evaluated the accuracy (reliability) by applying it to actual slopes. As a result, sensor measurement errors were maintained within 0.1°, and the data transmission rate exceeded 95%. Moreover, the AI-based image analysis system demonstrated nighttime partial recognition rates of over 99%, indicating excellent performance even in low-light conditions. Through this research, it is anticipated that the analysis of slope conditions and smart maintenance management in various fields of Social Overhead Capital (SOC) facilities can be applied.